Instructions to use pinglarin/summarization_papers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pinglarin/summarization_papers with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pinglarin/summarization_papers") model = AutoModelForSeq2SeqLM.from_pretrained("pinglarin/summarization_papers") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a24fb1f59335759d4925aa7c708e080e5e4eb8f9751a0b25a9c7f3409b432b15
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size 886339364
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